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. 2022 Apr 8;8(14):eabl6579.
doi: 10.1126/sciadv.abl6579. Epub 2022 Apr 6.

Mendelian randomization supports bidirectional causality between telomere length and clonal hematopoiesis of indeterminate potential

Tetsushi Nakao  1   2   3   4 Alexander G Bick  1   5 Margaret A Taub  6 Seyedeh M Zekavat  7 Md M Uddin  1   2 Abhishek Niroula  1   3   8 Cara L Carty  9 John Lane  10 Michael C Honigberg  1   2   11 Joshua S Weinstock  12 Akhil Pampana  1   2 Christopher J Gibson  11 Gabriel K Griffin  1   13   14 Shoa L Clarke  15 Romit Bhattacharya  2   16 Themistocles L Assimes  15   17 Leslie S Emery  18 Adrienne M Stilp  18 Quenna Wong  18 Jai Broome  18 Cecelia A Laurie  18 Alyna T Khan  18 Albert V Smith  12 Thomas W Blackwell  12 Veryan Codd  19   20 Christopher P Nelson  19   20 Zachary T Yoneda  21 Juan M Peralta  22 Donald W Bowden  23 Marguerite R Irvin  24 Meher Boorgula  25 Wei Zhao  26 Lisa R Yanek  27 Kerri L Wiggins  28 James E Hixson  29 C Charles Gu  30 Gina M Peloso  31 Dan M Roden  32 Muagututi'a S Reupena  33 Chii-Min Hwu  34   35 Dawn L DeMeo  36 Kari E North  37 Shannon Kelly  38   39 Solomon K Musani  40 Joshua C Bis  41 Donald M Lloyd-Jones  42   43 Jill M Johnsen  44 Michael Preuss  45 Russell P Tracy  46   47 Patricia A Peyser  26 Dandi Qiao  36 Pinkal Desai  48 Joanne E Curran  22 Barry I Freedman  49 Hemant K Tiwari  50 Sameer Chavan  25 Jennifer A Smith  26   51 Nicholas L Smith  52   53   54 Tanika N Kelly  55   56 Bertha Hidalgo  50 L Adrienne Cupples  31   57 Daniel E Weeks  58 Nicola L Hawley  59 Ryan L Minster  60 Samoan Obesity, Lifestyle and Genetic Adaptations Study (OLaGA) GroupRanjan Deka  61   62 Take T Naseri  63 Lisa de las Fuentes  30   64 Laura M Raffield  65 Alanna C Morrison  29 Paul S Vries  29 Christie M Ballantyne  66 Eimear E Kenny  67   68   69 Stephen S Rich  70 Eric A Whitsel  37   71 Michael H Cho  72 M Benjamin Shoemaker  21 Betty S Pace  73 John Blangero  22 Nicholette D Palmer  23 Braxton D Mitchell  74   75 Alan R Shuldiner  76 Kathleen C Barnes  25 Susan Redline  11   77   78 Sharon L R Kardia  26 Gonçalo R Abecasis  12   79 Lewis C Becker  27 Susan R Heckbert  52   53 Jiang He  55   56 Wendy Post  80 Donna K Arnett  81 Ramachandran S Vasan  31   57   82 Dawood Darbar  83 Scott T Weiss  11   36 Stephen T McGarvey  84 Mariza de Andrade  85 Yii-Der Ida Chen  86 Robert C Kaplan  87   88 Deborah A Meyers  89 Brian S Custer  38 Adolfo Correa  90 Bruce M Psaty  41   52   91 Myriam Fornage  29   92 JoAnn E Manson  11   93   94 Eric Boerwinkle  12 Barbara A Konkle  28   95 Ruth J F Loos  45   96 Jerome I Rotter  86 Edwin K Silverman  36 Charles Kooperberg  97 John Danesh  98   99   100 Nilesh J Samani  19   20 Siddhartha Jaiswal  101 Peter Libby  4   11 Patrick T Ellinor  1   102 Nathan Pankratz  10 Benjamin L Ebert  1   3   103 Alexander P Reiner  97 Rasika A Mathias  27 Ron Do  45   69   104 NHLBI Trans-Omics for Precision Medicine (TOPMed) ConsortiumPradeep Natarajan  1   2   11
Affiliations

Mendelian randomization supports bidirectional causality between telomere length and clonal hematopoiesis of indeterminate potential

Tetsushi Nakao et al. Sci Adv. .

Abstract

Human genetic studies support an inverse causal relationship between leukocyte telomere length (LTL) and coronary artery disease (CAD), but directionally mixed effects for LTL and diverse malignancies. Clonal hematopoiesis of indeterminate potential (CHIP), characterized by expansion of hematopoietic cells bearing leukemogenic mutations, predisposes both hematologic malignancy and CAD. TERT (which encodes telomerase reverse transcriptase) is the most significantly associated germline locus for CHIP in genome-wide association studies. Here, we investigated the relationship between CHIP, LTL, and CAD in the Trans-Omics for Precision Medicine (TOPMed) program (n = 63,302) and UK Biobank (n = 47,080). Bidirectional Mendelian randomization studies were consistent with longer genetically imputed LTL increasing propensity to develop CHIP, but CHIP then, in turn, hastens to shorten measured LTL (mLTL). We also demonstrated evidence of modest mediation between CHIP and CAD by mLTL. Our data promote an understanding of potential causal relationships across CHIP and LTL toward prevention of CAD.

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Figures

Fig. 1.
Fig. 1.. Analytical procedure in this study.
TOPMed (N = 63,302) and UK Biobank (N = 47,054) are the study cohorts. Mutect2 detected CHIP-associated mutations. Telomere length was estimated by TelSeq in TOPMed and qPCR (T/S ratio) in UK Biobank. We performed observational study and causal inference by bidirectional MR between LTL and CHIP. CHIP was associated with shorter LTL in the observational study. Germline genetic factors that increase CHIP development were associated with shorter LTL, whereas germline genetic factors that increase LTL were associated with developing CHIP. Mediation analysis adjusted for the measurable confounders detected the mediation effect of LTL on CHIP. CHIP, clonal hematopoiesis of indeterminate potential; LTL, leukocyte telomere length; TOPMed, Trans-Omics for Precision Medicine; UKBB, UK Biobank.
Fig. 2.
Fig. 2.. CHIP prevalence and VAF are associated with shorter LTL.
The associations of CHIP with LTL were assessed by linear regression model in both TOPMed and UK Biobank and then meta-analyzed by fixed-effect model. Both models were adjusted with age, sex, ever smoking, BMI, the first 11 genetic PCs, study within TOPMed, and sequencing center or batch (study was only applicable to TOPMed). The prevalence of CHIP with greater than 10% VAF associations was evaluated for overall and each mutated gene (A) and for each number of mutated genes in the same individuals (B). (C) The correlation between LTL and VAF among the population with CHIP from both TOPMed and UK Biobank pooled analysis is displayed. A subset in TOPMed with age 40 to 70 was included in the analysis to align with the age distribution in UK Biobank. As we could not include the population without CHIP in the analysis of (C), we added a red dashed line representing the average LTL in the population without CHIP. ***P < 0.001, after Bonferroni’s correction if applicable. DDR, DNA damage repair; VAF, variant allele frequency.
Fig. 3.
Fig. 3.. Bidirectional one-sample MR studies indicated the positive causal effect of LTL on CHIP and the inverse causal effect of CHIP on LTL.
Bidirectional one-sample MR was performed to assess the causal effect of both LTL on CHIP and CHIP on LTL. The summary statistics for LTL GWAS in Li et al. (11) was used for IV discovery for LTL on CHIP and TOPMed for CHIP on LTL. IVs were clumped if <10 Mb apart and in linkage disequilibrium (R2 > 0.001 calculated in European ancestry from the 1000 Genome Project). IVs were further assessed by Steiger test to mitigate the effect of reverse causation resulting in 16 and 2 IVs, respectively. TOPMed and UK Biobank were used as the test cohort for both CHIP on LTL and LTL on CHIP and meta-analyzed. Used IVs and cohorts for each analysis are summarized in tables S4, S8, and S9. CI, confidence interval; IV, instrumental variable; MR: Mendelian randomization.
Fig. 4.
Fig. 4.. Effect of mLTL and gLTL for mutation occurrence.
Effect estimates of (A) measured LTL (mLTL) and (B) gLTL (one-sample MR using 14 IVs) on singleton mutation occurrence. The vcf files were generated by Mutect2 from 56,266 CRAM files in TOPMed with appropriate filters and single-base substitutions were extracted, stratified by trinucleotide context. IVs were selected as two-sample MR for LTL (Fig. 3) with outlier exclusion. Effect estimates with P < 0.05 are colored. * denotes false discovery rate < 0.05.
Fig. 5.
Fig. 5.. Proposed model to explain “telomere paradox” in CHIP.
People with longer gLTL have a higher incidence of mutagenesis and, thus, have a higher chance to acquire CHIP-associated mutations (middle). The cells that acquired CHIP have a shorter telomere such that mean mLTL decreases as the clone expands (bottom). This model can explain the “paradox” that genetically longer LTL is associated with higher incidence of CHIP, which has measured shorter LTL on average. HSPC, hematopoietic stem cell.
Fig. 6.
Fig. 6.. Estimated change of mean LTL in each scenario.
Schematic representation of estimated change of mLTL in each scenario speculated from our study. The slope after CHIP acquisition may differ by CHIP-related gene and mutation.

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