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The Effect of Family Structure on the Still-Missing Heritability and Genomic Prediction Accuracy of Type 2 Diabetes Publisher Pubmed



Amiri Roudbar M1 ; Vahedi SM3 ; Jin J4 ; Jahangiri M5 ; Lanjanian H6 ; Habibi D6, 17 ; Masjoudi S6 ; Riahi P6 ; Fateh ST7 ; Neshati F6 ; Zahedi AS6 ; Moazzamjazi M6 ; Najdhassanbonab L6 ; Mousavi SF8 Show All Authors
Authors
  1. Amiri Roudbar M1
  2. Vahedi SM3
  3. Jin J4
  4. Jahangiri M5
  5. Lanjanian H6
  6. Habibi D6, 17
  7. Masjoudi S6
  8. Riahi P6
  9. Fateh ST7
  10. Neshati F6
  11. Zahedi AS6
  12. Moazzamjazi M6
  13. Najdhassanbonab L6
  14. Mousavi SF8
  15. Asgarian S6
  16. Zarkesh M6
  17. Moghaddas MR6
  18. Tenesa A9, 10
  19. Kazemnejad A5
  20. Vahidnezhad H11, 12, 13
  21. Hakonarson H11, 12, 13, 14, 15
  22. Azizi F16
  23. Hedayati M6
  24. Daneshpour MS6
  25. Akbarzadeh M6
Show Affiliations
Authors Affiliations
  1. 1. Department of Animal Science, Safiabad-Dezful Agricultural and Natural Resources Research and Education Center, Agricultural Research, Education & amp
  2. 2. Extension Organization, Dezful, Iran
  3. 3. Department of Animal Science and Aquaculture, Dalhousie University, Bible Hill, B2N5E3, NS, Canada
  4. 4. Department of Biostatistics, Epidemiology and Informatics, University of Pennsylvania, Philadelphia, PA, United States
  5. 5. Department of Biostatistics, Faculty of Medical Sciences, Tarbiat Modares University, Tehran, Iran
  6. 6. Cellular and Molecular Endocrine Research Center, Research Institute for Endocrine Sciences, Shahid Beheshti University of Medical Sciences, Tehran, Iran
  7. 7. School of Medicine, Tehran University of Medical Sciences, Tehran, Iran
  8. 8. Department of Animal Breeding and Genetics, Swedish University of Agricultural Sciences, Uppsala, Sweden
  9. 9. MRC Human Genetics Unit, Institute of Genetics and Cancer, The University of Edinburgh, Edinburgh, United Kingdom
  10. 10. The Roslin Institute, Royal (Dick) School of Veterinary Studies, The University of Edinburgh, Midlothian, United Kingdom
  11. 11. Center for Applied Genomics (CAG), Children’s Hospital of Philadelphia, 3615 Civic Center Blvd, Abramson Building, Philadelphia, 19104, PA, United States
  12. 12. Department of Pediatrics, The Perelman School of Medicine, University of Pennsylvania, Philadelphia, 19104, PA, United States
  13. 13. Division of Human Genetics, Children’s Hospital of Philadelphia, Philadelphia, 19104, PA, United States
  14. 14. Division of Pulmonary Medicine, Children’s Hospital of Philadelphia, Philadelphia, 19104, PA, United States
  15. 15. Faculty of Medicine, University of Iceland, Reykjavik, Iceland
  16. 16. Endocrine Research Center, Research Institute for Endocrine Sciences, Shahid Beheshti University of Medical Sciences, Tehran, Iran
  17. 17. Department of Biostatistics and Epidemiology School of Public Health, Babol University of Medical Sciences, Babol, Iran

Source: Human Genomics Published:2024


Abstract

This study aims to assess the effect of familial structures on the still-missing heritability estimate and prediction accuracy of Type 2 Diabetes (T2D) using pedigree estimated risk values (ERV) and genomic ERV. We used 11,818 individuals (T2D cases: 2,210) with genotype (649,932 SNPs) and pedigree information from the ongoing periodic cohort study of the Iranian population project. We considered three different familial structure scenarios, including (i) all families, (ii) all families with ≥ 1 generation, and (iii) families with ≥ 1 generation in which both case and control individuals are presented. Comprehensive simulation strategies were implemented to quantify the difference between estimates of and. A proportion of still-missing heritability in T2D could be explained by overestimation of pedigree-based heritability due to the presence of families with individuals having only one of the two disease statuses. Our research findings underscore the significance of including families with only case/control individuals in cohort studies. The presence of such family structures (as observed in scenarios i and ii) contributes to a more accurate estimation of disease heritability, addressing the underestimation that was previously overlooked in prior research. However, when predicting disease risk, the absence of these families (as seen in scenario iii) can yield the highest prediction accuracy and the strongest correlation with Polygenic Risk Scores. Our findings represent the first evidence of the important contribution of familial structure for heritability estimations and genomic prediction studies in T2D. © The Author(s) 2024.