{"doi":"10.1038/s41467-024-47802-7","title":"Genetic influence on within-person longitudinal change in anthropometric traits in the UK Biobank","abstract":"Abstract The causes of temporal fluctuations in adult traits are poorly understood. Here, we investigate the genetic determinants of within-person trait variability of 8 repeatedly measured anthropometric traits in 50,117 individuals from the UK Biobank. We found that within-person (non-directional) variability had a SNP-based heritability of 2–5% for height, sitting height, body mass index (BMI) and weight (P $$\\le$$ <mml:math xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"> <mml:mo>≤</mml:mo> </mml:math> 2.4 × 10 − 3 ). We also analysed longitudinal trait change and show a loss of both average height and weight beyond about 70 years of age. A variant tracking the Alzheimer’s risk APOE - $${{{{{\\mathcal{E}}}}}}4$$ <mml:math xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"> <mml:mi>E</mml:mi> <mml:mn>4</mml:mn> </mml:math> allele (rs429358) was significantly associated with weight loss ( $$\\beta$$ <mml:math xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"> <mml:mi>β</mml:mi> </mml:math> = −0.047 kg per yr, s.e. 0.007, P = 2.2 × 10 −11 ), and using 2-sample Mendelian Randomisation we detected a relationship consistent with causality between decreased lumbar spine bone mineral density and height loss ( b xy = 0.011, s.e. 0.003, P = 3.5 × 10 −4 ). Finally, population-level variance quantitative trait loci (vQTL) were consistent with within-person variability for several traits, indicating an overlap between trait variability assessed at the population or individual level. Our findings help elucidate the genetic influence on trait-change within an individual and highlight disease risks associated with these changes.","journal":"Nature Communications","year":2024,"id":424608,"datarank":0.4636563680037475,"base_score":3.091042453358316,"endowment":3.091042453358316,"self_citation_contribution":0.4636563680037475,"citation_network_contribution":0.0,"self_endowment_contribution":0.4636563680037475,"citer_contribution":0.0,"corpus_percentile":null,"corpus_rank":null,"citation_count":21,"citer_count":0,"citers_with_citation_signal":0,"citers_with_endowment":0,"datacite_reuse_total":0,"is_dataset":false,"is_dataset_confidence":0.9245,"is_data_producer":false,"deposit_databanks":null,"is_oa":true,"file_count":0,"downloads":0,"has_version_chain":false,"published_date":"2024-01-01","fair_score":null,"fair_percentile":null,"algorithm_id":"datarank_citation_only_1hop_v6","ranking_scope":"data_only","authors":[{"id":228003,"name":"Julia Sidorenko","orcid":"0000-0003-1494-6772","position":1,"is_corresponding":false},{"id":228002,"name":"Huanwei Wang","orcid":"0000-0002-6137-3391","position":2,"is_corresponding":false},{"id":1221556,"name":"Ben J. Hayes","orcid":"0000-0002-5606-3970","position":3,"is_corresponding":false},{"id":5188,"name":"Naomi R. Wray","orcid":"0000-0001-7421-3357","position":4,"is_corresponding":false},{"id":21726,"name":"Loïc Yengo","orcid":"0000-0002-4272-9305","position":5,"is_corresponding":false},{"id":14694,"name":"Matthew C. Keller","orcid":"0000-0002-6075-9882","position":6,"is_corresponding":false},{"id":22008,"name":"Michael E. Goddard","orcid":"0000-0001-9917-7946","position":7,"is_corresponding":false},{"id":5308,"name":"Peter M. Visscher","orcid":"0000-0002-2143-8760","position":8,"is_corresponding":false},{"id":228004,"name":"Kathryn E. Kemper","orcid":"0000-0002-9288-4522","position":0,"is_corresponding":true}],"reference_count":49,"raw_metadata":{"citation_network_status":"fetched"},"created_at":"2026-07-19T01:58:21.523756Z","pmid":"38710707","pmcid":null,"fwci":null,"citation_percentile":null,"influential_citations":0,"oa_status":null,"license":null,"views":0,"total_file_size_bytes":0,"version_count":0,"fair_f":null,"fair_a":null,"fair_i":null,"fair_r":null,"fair_zscore":null,"fair_rationale":null,"fair_model":null,"fair_agent_version":null,"fair_fulltext_source":null,"fair_has_llm":null,"fair_computed_at":null,"clinical_trials":[],"software_tools":[],"db_accessions":[],"linked_datasets":[],"topics":[]}